A KNOWLEDGE BASE FOR STRATEGIC LOGISTICS PLANNING

被引：0
|
作者：
Gumzej, Roman [1 ]
Kramberger, Tomaz [1 ]
Dujak, Davor [2 ]
机构：
[1] Univ Maribor, Maribor, Slovenia
[2] Josip Juraj Strossmayer Univ Osijek, Osijek, Croatia
来源：
BUSINESS LOGISTICS IN MODERN MANAGEMENT, 2023 | 2023年
关键词：
predictive analytics; applied industrial technology; artificial intelligence; smart business models; big data and sustainability;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
In the paper, a knowledge-based engineering approach to strategic logistics planning is presented. Semantic web technologies for managing a knowledge base of business experiences are used. The proposed knowledge base comprises experiences gained by the SCOR model of logistics planning, according to the Deming's observe, plan, do, study, act cycle. By appropriate structuring of the knowledge base, easy access to the stored experiences for on-line analytic processing is enabled. By the proposed approach an expert system for smart logistics management is founded.
引用
收藏
页码：317 / 330
页数：14
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